Experiment: Export up
Contents
9. Experiment: Export up¶
Take a small very small model and make some experiments
import pandas as pd
from modelclass import model
model.widescreen()
9.1. Load the precooked model¶
This model was generated from scratch here
msmallmodel,baseline = model.modelload('models/smallmodel.pcim',run=1,keep='Baseline',silent=1)
9.2. Create new dataframe where the export is increased by 10 percent¶
impuls_x_10pct = baseline.upd("<2024 2027> x % 10")
impuls_x_5pct = baseline.upd("<2024 2027> x % 5")
9.3. Simulate the model¶
result_x = msmallmodel(impucls_x_10pct,keep='Export increased by 10 percent',alfa=0.2,solver='newton',silent=1)
_ = msmallmodel(impuls_x_5pct,keep='Export increased by 5 percent',alfa=0.2,solver='newton',silent=1)
9.4. Display results¶
with msmallmodel.set_smpl('2020','2030'):
display(msmallmodel['y cpv g x m gde' ])
msmallmodel['y cpv g m gde'].difpctlevel.rename().mul100.plot(sharey=True);
try:
if 1:
msmallmodel.modeldash('Y',jupyter=1,inline=0,dashport=5006)
else:
print(42)
except Exception as e:
print(f"Can't run modeldash here")
apprun
Can't run modeldash here
msmallmodel.keep_plot('y m c',diff=1,legend=1);
msmallmodel.keep_viz('Y')
msmallmodel.keep_wiz_figs
{'I': <Figure size 720x432 with 1 Axes>,
'M': <Figure size 720x432 with 1 Axes>,
'X': <Figure size 720x432 with 1 Axes>,
'Y': <Figure size 720x432 with 1 Axes>}
yfig = msmallmodel.keep_wiz_figs['Y']
yfig.savefig('graph/GDP.pdf')
!dir graph
Volume in drive C has no label.
Volume Serial Number is C2DB-095E
Directory of c:\wb new\Modelflow\working_paper\thebook\content\howto\smallmodel\graph
28-06-2022 10:21 <DIR> .
28-06-2022 12:39 <DIR> ..
28-06-2022 07:49 6.199 A_model_graph.gv
28-06-2022 07:49 92.473 A_model_graph.png
28-06-2022 07:49 12.839 A_model_graph.svg
28-06-2022 12:39 15.058 GDP.pdf
4 File(s) 126.569 bytes
2 Dir(s) 790.590.144.512 bytes free
display(yfig)
msmallmodel.lastdf.to_excel('test.xlsx')
andrew =msmallmodel['y'].pct.mul100.rename().plot()
andrew
